BERT language model

What is BERT (Bidirectional Encoder Representations from Transformers) and how is it used?

Bynajib

BERT is a groundbreaking language model developed by Google AI in 2018. It has changed the game in natural language processing (NLP). Unlike old models, BERT reads text in both directions, understanding left and right context. This lets it grasp language nuances better. Thanks to this, BERT excels in many NLP tasks. It does well…

transformer

How do transformers work in NLP tasks like translation and text generation?

Bynajib

Transformer models have changed the game in natural language processing (NLP). They excel in tasks like machine translation and text generation. These models use attention mechanisms to understand word relationships, processing sequences in parallel. This approach has led to top results in many NLP tasks, changing how AI interacts with and creates human language. At…